Capacity of a Bayesian model to detect infected herds using disease dynamics and risk factor information from surveillance programmes: A simulation study

Title
Capacity of a Bayesian model to detect infected herds using disease dynamics and risk factor information from surveillance programmes: A simulation study
Authors
Keywords
Output-based surveillance, Hidden Markov model, Herd-level probability of infection, Freedom from infection, Longitudinal data, Repeated testing
Journal
PREVENTIVE VETERINARY MEDICINE
Volume 200, Issue -, Pages 105582
Publisher
Elsevier BV
Online
2022-01-26
DOI
10.1016/j.prevetmed.2022.105582

Ask authors/readers for more resources

Reprint

Contact the author

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started